Senior Data Engineer

25k - 30k PLN25 000 - 30 000 PLN/ mies./ mies.UoPUmowa o pracę (brutto)

SeniorZdalnie·WarszawaFull-time·Umowa o pracę

#470400·Dodano 6 dni temu·2

Źródło: justjoin.it

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Tech Stack / Keywords

Python SQL AWS Terraform Docker Kubernetes Apache SparkDBTApache AirflowData modeling

Podsumowanie oferty

As a Senior Data Engineer, you will build and operate the Data Platform for a global SaaS product focused on customer engagement and marketing automation. You will design scalable data systems and pipelines using Python, SQL, AWS, and modern data technologies, while partnering with Data Science and AI teams.

Wymagania

5+ years of professional software engineering experience focused on designing, scaling, and maintaining production data systems.
Experience in data modeling, query optimization, and schema design for high-concurrency relational databases and cloud analytical warehouses.
Hands-on experience provisioning and managing infrastructure with Terraform in a major cloud environment, preferably AWS.
Practical experience with automated testing, CI/CD pipelines, and maintainable, modular Python code.
Delivery experience using modern data tools such as Snowflake, Apache Spark, dbt, or Apache Iceberg.
Strong command of English (B2/C1+) and ability to explain architectural decisions to technical and non-technical stakeholders.

Nice to have:

Experience building or supporting MLOps workflows and feature stores alongside Data Science teams.
Hands-on experience with real-time analytics engines such as Apache Druid or ClickHouse.
Familiarity with containerized orchestration using Kubernetes and Helm.

Obowiązki

Pipeline Architecture & Engineering:

Design, develop, and operate resilient, high-throughput data processing pipelines across distributed ecosystems.

Data Modeling & Storage Strategy:

Lead schema evolution, DDL/DML design, and partitioning strategies across relational and analytical warehouses to optimize cost, latency, and throughput.

Engineering Rigor & IaC:

Manage cloud infrastructure using Terraform.
Maintain automated test suites and robust CI/CD pipelines.

AI & MLOps Enablement:

Partner with Data Science and AI specialists to architect feature stores, model ingestion workflows, and production-grade MLOps pipelines.

Reliability & Observability:

Monitor, optimize, and scale containerized data services and scheduled DAGs running in orchestrated environments using Kubernetes, Airflow, and Docker.

Technical Leadership & Collaboration:

Serve as a subject-matter expert for cross-functional stakeholders.
Translate architectural trade-offs into practical business decisions.

Benefity

75% KUP (copyright tax deductible costs) for creative and software engineering contributions.
10% annual bonus tied to personal and company performance.
Home office stipend.
Private medical cover via LuxMed, including dental and vision subsidies.
Complimentary mental well-being app subscription.
MultiSport Plus card.
Pension scheme matching up to 1.5%.
Paid 4-week sabbatical with a financial bonus after 5 years of service.
Access to LinkedIn Learning, conference allowances, and personalized development pathways.

Premie

Opieka zdrowotna

Karta sportowa

Budżet konferencyjny

Płatny urlop

Inne informacje

Remote work is available from anywhere in Poland.

Yard Corporate

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